The 经得起时间考验的英文为标题：A Framework for Consistency and Quality in AI Output

In the world of artificial intelligence, it is essential to have a consistent and high-quality output. This framework, known as the “AI Output Framework,” provides a structure for ensuring this consistency and quality in AI output.

The AI Output Framework consists of three main components:

1. A definition of what constitutes an AI output, including its purpose, function, and meaning. This definition must be consistent across all AI outputs and be clear and concise.

2. A set of guidelines for the development of AI outputs, including best practices for data预处理， model设计， and output格式. These guidelines must be followed consistently by all AI outputs.

3. A set of standards for the quality of AI outputs, including metrics for assessing the accuracy, precision, and scalability of models, as well as requirements for data quality and ethical considerations. These standards must be consistently met by all AI outputs.

By following this framework, AI outputs can be developed with greater consistency and quality, making them more useful and effective for a wide range of applications. This consistency also helps to promote trust and confidence in AI, as well as reduce the potential for error and bias.

In conclusion, the AI Output Framework is an important framework for ensuring consistency and quality in AI output. By following these guidelines, AI outputs can be developed with greater clarity, accuracy, and effectiveness, making them more valuable and relevant for a wide range of applications.